Xiaofeng Liao

1.1k total citations
29 papers, 891 citations indexed

About

Xiaofeng Liao is a scholar working on Computer Networks and Communications, Statistical and Nonlinear Physics and Computer Vision and Pattern Recognition. According to data from OpenAlex, Xiaofeng Liao has authored 29 papers receiving a total of 891 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Computer Networks and Communications, 10 papers in Statistical and Nonlinear Physics and 8 papers in Computer Vision and Pattern Recognition. Recurrent topics in Xiaofeng Liao's work include Neural Networks Stability and Synchronization (16 papers), Nonlinear Dynamics and Pattern Formation (9 papers) and Chaos-based Image/Signal Encryption (7 papers). Xiaofeng Liao is often cited by papers focused on Neural Networks Stability and Synchronization (16 papers), Nonlinear Dynamics and Pattern Formation (9 papers) and Chaos-based Image/Signal Encryption (7 papers). Xiaofeng Liao collaborates with scholars based in China, Australia and Hong Kong. Xiaofeng Liao's co-authors include Tao Dong, Aijuan Wang, Chunguang Li, Juebang Yu, Chuandong Li, Aqeel ur Rehman, Saleem Ullah, Rehan Ashraf, Xingyou Zhang and Huaqing Li and has published in prestigious journals such as Physics Letters A, Neurocomputing and Journal of the Franklin Institute.

In The Last Decade

Xiaofeng Liao

28 papers receiving 859 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Xiaofeng Liao China 14 488 312 271 154 135 29 891
Xiao‐Wen Zhao China 13 359 0.7× 294 0.9× 162 0.6× 65 0.4× 173 1.3× 45 670
Ana Dalia Pano-Azucena Mexico 11 224 0.5× 493 1.6× 246 0.9× 115 0.7× 70 0.5× 18 658
Lazaros Moysis Greece 17 156 0.3× 444 1.4× 448 1.7× 129 0.8× 117 0.9× 92 894
Shijian Cang China 20 454 0.9× 895 2.9× 261 1.0× 86 0.6× 81 0.6× 45 1.0k
Jay Prakash Singh India 20 579 1.2× 977 3.1× 260 1.0× 128 0.8× 81 0.6× 68 1.2k
Александра Тутуева Russia 16 167 0.3× 425 1.4× 353 1.3× 132 0.9× 43 0.3× 51 734
Moez Feki Tunisia 16 760 1.6× 981 3.1× 258 1.0× 104 0.7× 253 1.9× 68 1.2k
Omar Guillén-Fernández Mexico 12 142 0.3× 407 1.3× 332 1.2× 120 0.8× 38 0.3× 19 614
José-Cruz Nuñez-Pérez Mexico 11 152 0.3× 365 1.2× 227 0.8× 78 0.5× 54 0.4× 44 558

Countries citing papers authored by Xiaofeng Liao

Since Specialization
Citations

This map shows the geographic impact of Xiaofeng Liao's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Xiaofeng Liao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaofeng Liao more than expected).

Fields of papers citing papers by Xiaofeng Liao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Xiaofeng Liao. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Xiaofeng Liao. The network helps show where Xiaofeng Liao may publish in the future.

Co-authorship network of co-authors of Xiaofeng Liao

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaofeng Liao. A scholar is included among the top collaborators of Xiaofeng Liao based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Xiaofeng Liao. Xiaofeng Liao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Wang, Aijuan, Tao Dong, & Xiaofeng Liao. (2019). Distributed optimal consensus algorithms in multi-agent systems. Neurocomputing. 339. 26–35. 19 indexed citations
2.
Wang, Aijuan, Xiaofeng Liao, & Tao Dong. (2018). Fractional-order follower observer design for tracking consensus in second-order leader multi-agent systems: Periodic sampled-based event-triggered control. Journal of the Franklin Institute. 355(11). 4618–4628. 30 indexed citations
3.
Liu, Yicheng, Xiaofeng Liao, & Chuandong Li. (2018). Exponential Lag Synchronization of Memristive Neural Networks with Reaction Diffusion Terms via Neural Activation Function Control and Fuzzy Model. Asian Journal of Control. 22(1). 346–361. 10 indexed citations
4.
Rehman, Aqeel ur, et al.. (2018). A color image encryption technique using exclusive-OR with DNA complementary rules based on chaos theory and SHA-2. Optik. 159. 348–367. 146 indexed citations
5.
Wang, Aijuan, Xiaofeng Liao, & Tao Dong. (2017). Event-driven optimal control for uncertain nonlinear systems with external disturbance via adaptive dynamic programming. Neurocomputing. 281. 188–195. 27 indexed citations
6.
Dong, Tao, et al.. (2017). Event-triggered synchronization for reaction–diffusion complex networks via random sampling. Physica A Statistical Mechanics and its Applications. 495. 454–462. 38 indexed citations
7.
Liao, Xiaofeng, et al.. (2017). Anti-control of Hopf bifurcation in the Shimizu–Morioka system using an explicit criterion. Nonlinear Dynamics. 89(2). 1453–1461. 11 indexed citations
8.
Fang, Han, Xiaofeng Liao, Huiwei Wang, Bo Yang, & Yushu Zhang. (2017). A self-adaptive scheme for double color-image encryption. 2015. 121–128. 2 indexed citations
9.
Gao, Lan, Xiaofeng Liao, Huaqing Li, & Guo Chen. (2015). Event-triggered control for multi-agent network with limited digital communication. Nonlinear Dynamics. 82(4). 1659–1669. 16 indexed citations
10.
Wang, Aijuan, Tao Dong, & Xiaofeng Liao. (2015). Event-triggered synchronization strategy for complex dynamical networks with the Markovian switching topologies. Neural Networks. 74. 52–57. 132 indexed citations
11.
Ji, Lianghao & Xiaofeng Liao. (2013). Consensus problems of first-order dynamic multi-agent systems with multiple time delays. Chinese Physics B. 22(4). 40203–40203. 34 indexed citations
12.
Li, Yang, Hua‐Liang Wei, S.A. Billings, & Xiaofeng Liao. (2012). Time-varying linear and nonlinear parametric model for Granger causality analysis. Physical Review E. 85(4). 41906–41906. 29 indexed citations
13.
Ren, Xiaoxia, et al.. (2012). New image encryption algorithm based on cellular neural network. Journal of Computer Applications. 31(6). 1528–1530. 4 indexed citations
14.
Han, Qi, et al.. (2012). Analysis on equilibrium points of cells in cellular neural networks described using cloning templates. Neurocomputing. 89. 106–113. 2 indexed citations
15.
Li, Huaqing, Xiaofeng Liao, Chuandong Li, Hongyu Huang, & Chaojie Li. (2011). Edge detection of noisy images based on cellular neural networks. Communications in Nonlinear Science and Numerical Simulation. 16(9). 3746–3759. 76 indexed citations
16.
Yu, Yongbin, et al.. (2008). Chaos and Its Impulsive Control in Chua's Oscillator via Time-Delay Feedback. 2 indexed citations
17.
Li, Chuandong, Xiaofeng Liao, & Xingyou Zhang. (2005). Impulsive synchronization of chaotic systems. Chaos An Interdisciplinary Journal of Nonlinear Science. 15(2). 23104–23104. 76 indexed citations
18.
Li, Chunguang, Xiaofeng Liao, & Juebang Yu. (2003). Complex-valued wavelet network. Journal of Computer and System Sciences. 67(3). 623–632. 12 indexed citations
19.
Li, Chunguang, Hongbing Xu, Xiaofeng Liao, & Juebang Yu. (2003). Tabu search for CNN template learning. Neurocomputing. 51. 475–479. 10 indexed citations
20.
Li, Chunguang, Xiaofeng Liao, & Juebang Yu. (2003). Synchronization of fractional order chaotic systems. Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics. 68(6). 67203–67203. 132 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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